Book review Atzeni, M., Azzellini, D., Mezzadri, A., Moore, P., & Apitzsch, U. eds. (2023) Handbook of Research on the Global Political Economy of Work. Cheltenham and Northampton: Edward Elgar Publishing. ISBN: 978-1-83910-657-6. 704 pp. £241.20 (hardcov
Bibliographic record
Abstract
The goal of this handbook is bringing together different studies within the Marxist critical political economy to advance our understanding of changes in work and employment relations, including relations between multiple forms of work, exploitation, class structure, and workers’ collective action. One of the most outstanding features of the book is that it goes beyond disciplinary boundaries. It contains contributions from political economy, geography, sociology of work, social anthropology, development studies, social movement studies, and management. Another key characteristic of the book is that it includes empirical studies from a wide array of geographical contexts. Analysed cases focus on both the Global North and the Global South. In fact, North-South relations and the uneven geographical nature of capitalism, are part of the analytical interest of some chapters (something which is consistent with the explicit anti-colonial and decolonial agenda of the editors).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.118 | 0.098 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".